Numbersdontlieblutmansdo

F 40 completed
Data Tool
containerized / python · small
57
Files
11,445
LOC
5
Frameworks
8
Languages

Pipeline State

completed
Run ID
#370466
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
75.36
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #66097
Member of a group with 2 similar repo(s) — this repo is canonical view group →
Top concepts (1)
Web Frontend
Repobility analyzer · published findings · https://repobility.com

AI Prompt

I want to build a full-stack data analysis and visualization platform. The backend should be built using FastAPI in Python, and I need to use SQLAlchemy for database interactions. For the frontend, please use React with Vite and style it with Tailwind CSS. Since this is a containerized application, please ensure the necessary Docker setup is included, and the overall structure should be ready for deployment, perhaps using a docker-compose setup.
python fastapi react vite tailwindcss sqlalchemy data-analysis visualization docker
Generated by gemma4:latest

Catalog Information

This project is designed to provide a platform for data analysis and visualization.

Description

Numbers Don't Lie, Blutmans Do appears to be a project focused on data analysis and visualization. However, without further information, it's difficult to determine the specifics of its functionality. It utilizes Python and JavaScript languages and interacts with PostgreSQL databases. The project name suggests a focus on data-driven insights.

الوصف

يبدو أن مشروع Numbers Don't Lie, Blutmans Do يركز على تحليل البيانات والتصوير. ومع ذلك، دون وجود معلومات إضافية، صعب تحديد تفاصيل وظيفته. يستخدم اللغات Python و JavaScript وتفاعل مع قواعد البيانات PostgreSQL. اسم المشروع يشير إلى تركيزه على الفهم المبني على البيانات.

Novelty

3/10

Tags

data-analysis data-visualization database-interaction insight-generation

Claude Models

claude-opus-4.6 claude-sonnet-4.6

Quality Score

F
40.3/100
Structure
27
Code Quality
57
Documentation
17
Testing
0
Practices
72
Security
74
Dependencies
60

Strengths

  • Containerized deployment (Docker)

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 files with critical complexity need refactoring
  • Potential hardcoded secrets in 1 files
  • 1888 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

7.6h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
All rows above produced by Repobility · https://repobility.com
Unknown
License
11.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
57.2%
json
27.0%
javascript
14.6%
css
0.5%
yaml
0.4%
html
0.2%
text
0.1%
toml
0.1%

Frameworks

FastAPI React Tailwind CSS Vite SQLAlchemy

Concepts (1)

Source-of-truth: Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Same scanner, your repo: https://repobility.com — Repobility
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/94671.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV